Abstract
This paper considers the problem of localization of multiple land mines using information collected by a network of wireless sensors deployed in the area of interest. These sensors detect the concentration of explosive vapours, emanating from buried land mines, in the air and have a wireless transmission system for exchanging information with a treatment or fusion centre. One of the key contribution of this paper is to locate and estimate the emission rate of multiple land mines. Using a model for the transport of the explosive chemicals in the air, we formulate the inverse problem consisting in determining sequentially the positions and emission rates of the land mines knowing concentration measurements provided by the sensors. To solve the inverse problem, we present a first solution based on a Least Squares optimization approach and a second solution based on probabilistic Bayesian techniques using a Markov Chain Monte Carlo sampling scheme. These two approaches are tested and compared on simulated data.
Original language | English |
---|---|
Title of host publication | FUSION 2014 - 17th International Conference on Information Fusion |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
ISBN (Electronic) | 9788490123553 |
Publication status | Published - 3 Oct 2014 |
Externally published | Yes |
Event | 17th International Conference on Information Fusion, FUSION 2014 - Salamanca, Spain Duration: 7 Jul 2014 → 10 Jul 2014 |
Publication series
Name | FUSION 2014 - 17th International Conference on Information Fusion |
---|
Conference
Conference | 17th International Conference on Information Fusion, FUSION 2014 |
---|---|
Country/Territory | Spain |
City | Salamanca |
Period | 7/07/14 → 10/07/14 |
Bibliographical note
Publisher Copyright:© 2014 International Society of Information Fusion.